2020
DOI: 10.1016/j.ijmecsci.2020.105573
|View full text |Cite
|
Sign up to set email alerts
|

Multiphysics computational analysis of multiferroic composite ring structures

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
3
0
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 17 publications
(5 citation statements)
references
References 25 publications
0
3
0
2
Order By: Relevance
“…This attraction and concentration of field are even higher at the top and bottom portions of the ring. This was shown by numerical simulations in our previous works conducted using COMSOL Multiphysics [47,48]. Thus, although location 'C' experiences a lower magnitude of alternating magnetic field, it still shows a better power conversion efficiency due to receiving sufficient bias magnetic field to align Terfenol-D domains.…”
Section: Effect Of Transmitter/receiver Orientationmentioning
confidence: 74%
“…This attraction and concentration of field are even higher at the top and bottom portions of the ring. This was shown by numerical simulations in our previous works conducted using COMSOL Multiphysics [47,48]. Thus, although location 'C' experiences a lower magnitude of alternating magnetic field, it still shows a better power conversion efficiency due to receiving sufficient bias magnetic field to align Terfenol-D domains.…”
Section: Effect Of Transmitter/receiver Orientationmentioning
confidence: 74%
“…As shown in Figure 1 (a), the representative straintronic device structure [18] is employed to study the strain-stimulated magnetic vortex dynamics. The magnetostrictive cylinder nanomagnet consists of Polycrystalline Terfenol-D, whose typical parameters (damping constant α = 0.04 [19], exchange constant A ex = 9.4×10 -12 J/m, magnetostrictive coefficient λ s = 820 ppm [20], saturation magnetization M S = 6.7×10 5 A/m) are employed in the micromagnetic model. The radius R of the nanomagnet is 192 nm, and the thickness L is 20 nm, which ensures that the ground state of the nanomagnet is a vortex.…”
Section: Micromagnetic Modelmentioning
confidence: 99%
“…为了提升磁电换能器的转换效率,达到无线功率传输的最佳效果,需要对 层合磁电材料进行建模分析,目前主要采用的方法包括格林函数法 [16] 、弹性力 学法 [17,18] 、等效电路法 [19][20][21] 和有限元法 [22][23][24] . 其中,格林函数法的表达式较为复 杂,实用性不强.…”
Section: 引 言unclassified
“…基于有限元的数值模拟方法,能够充分考虑磁致伸缩材料的非线性本 构关系,准确计算三维复杂模型,突破了纯理论分析的限制. Han [23] 、Stampfli 等人 [24] 在非线性层合磁电模型中研究了直流偏置磁场对磁电效应的影响,Zhou 等人 [26] 还在模型中考虑了温度和界面耦合系数的影响,但均未分析谐振状态下 的磁电效应. 与低频非谐振态相比,谐振状态下的层合磁电材料具有更高的磁电 系数 [27] ,作为换能器使用时,能够获得更高的能量转换效率.…”
Section: 引 言unclassified